Parcellating cortical functional networks in individuals View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-11-09

AUTHORS

Danhong Wang, Randy L Buckner, Michael D Fox, Daphne J Holt, Avram J Holmes, Sophia Stoecklein, Georg Langs, Ruiqi Pan, Tianyi Qian, Kuncheng Li, Justin T Baker, Steven M Stufflebeam, Kai Wang, Xiaomin Wang, Bo Hong, Hesheng Liu

ABSTRACT

A cortical parcellation technique accurately maps functional organization in individual brains. Functional networks mapped by this approach are highly reproducible and effectively capture individual variability. The algorithm performs well across different populations and data types and is validated by invasive cortical stimulation mapping in surgical patients.

PAGES

1853-1860

Journal

TITLE

Nature Neuroscience

ISSUE

12

VOLUME

18

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nn.4164

DOI

http://dx.doi.org/10.1038/nn.4164

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025424286

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26551545


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41 individual variability
42 individuals
43 mapping
44 network
45 organization
46 parcellation technique
47 patients
48 population
49 stimulation mapping
50 surgical patients
51 technique
52 types
53 variability
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